Forward Deployed Engineering Intern

5 days ago

San Mateo, California, United States Luminary Cloud Full time

We're hiring Forward Deployed Engineer Interns for the summer of 2026. As part of our internship program, you'll have the opportunity to contribute directly to real-world projects that redefine design workflows — accelerating design cycles, cutting prototyping costs, and enabling engineers to use AI natively in their workflows. You'll help build the future of engineering design, leveraging GPU-native solvers, physics-driven AI models, and scalable cloud infrastructure.

The ideal candidate for this role has a background in engineering (bonus points for aerospace or mechanical engineering) and has practical experience with scientific computing, data science and deep learning workflows. 

We offer a competitive stipend, mentorship from experienced engineers and researchers, and immerse you in a fast-paced environment where innovation isn't optional — it's necessary. 

What You'll Do
  • Pioneer Physics AI adoption by creating and applying  PhysicsAI models for real world design optimization problems using Luminary Cloud's scalable data-generation platform
  • Own the entire PhysicsAI model pipeline of data generation, model training and evaluation, and embedding in real-world use cases.
  • Collaborate with cross-functional teams across engineering, product, sales and marketing, communicating your work to different stakeholders and directly shaping the next generation of Physics AI.
Basic Qualifications
  • Bachelors/Masters in Engineering, Computational Science, Physics or Applied Mathematics
  • Experience with using physics simulation tools and workflows: geometry creation, meshing, simulation and post processing
  • Experience with data science and deep learning workflows
  • Proficiency in Python scripting and Linux systems
  • Self-starter mentality with the ability to work independently and drive results.
  • Exceptional communication skills, particularly when engaging with technical audiences.
Preferred Qualifications
  • Previous experience with Physics AI / scientific machine learning in applied or research settings
  • Experience using at least one deep learning library (e.g. PyTorch/Tensorflow/JAX )
  • Experience with CAD tools (eg. SolidWorks, Onshape etc.)
  • Experience using SDK APIs
  • Experience with cloud/high-performance computing environments (GCP/AWS/Azure)

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